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StatusCake MCP by usefulapi

Create a heartbeat check

statuscake_create_heartbeat_check
Destructive

Create a heartbeat (push) check for a cron job or worker: it goes down if StatusCake is not pinged within period seconds. Returns the new id as data.new_id; fetch it with statuscake_get_heartbeat_check to get the ping URL. StatusCake: POST /heartbeat.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostNoName of the hosting provider (informational).
nameYesName of the check.
tagsNoTags for the check. An empty list clears them.
pausedNoCreate the check paused.
periodYesSeconds since the last ping before the check is down, 30-172800 (e.g. 1800).
contact_groupsNoContact group ids to alert (see statuscake_list_contact_groups). An empty list clears them.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes beyond the annotations by explaining the tool's operational semantics (the check goes down if not pinged within `period` seconds) and disclosing the return shape (data.new_id). With annotations only providing destructiveHint=true, the description usefully adds the key consequence and the follow-up workflow, though it doesn't cover auth or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tightly packed sentences: purpose front-loaded, then the return value, then the underlying endpoint. Every sentence carries actionable information with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description fills that gap by stating the return value (data.new_id) and pointing to the tool that yields the ping URL. Nothing an agent needs to invoke and follow up on this create call is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3; the description slightly exceeds it by reinforcing the meaning of `period` (the down-threshold in seconds) in conceptual terms. It does not add syntax or format detail beyond what the schema already provides for the other five parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Create a heartbeat (push) check') and clarifies the mechanism (goes down if not pinged within period seconds). This distinguishes it cleanly from sibling creation tools like statuscake_create_uptime_check and statuscake_create_ssl_check without needing to open their schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Clearly scopes the tool to 'a cron job or worker' and routes the agent to the next step (statuscake_get_heartbeat_check for the ping URL). It stops short of stating when not to use it or contrasting it explicitly with the other create_* siblings, so it is clear context but not full when/when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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